Using Docker

Docker images are periodically updated which contain a working version of the code and examples. These images are large, but they contain a full version of E4MMA together with O2scl, O2sclpy, Scipy, Matplotlib, and Jupyter (Scikit-learn, Tensorflow, and PyTorch are also included). To use the images (available at https://hub.docker.com/repository/docker/awsteiner/e4mma/general), you can try, for example:

sudo docker pull awsteiner/e4mma:alpha5_ju_o930a4_u24.04
sudo docker run -p 8888:8888 -it \
  `sudo docker images | grep "alpha5_ju_o930a4_u24.04" | awk '{print $3}'`

Then, inside the docker image, you can either run the code directly:

./eos_nuclei -help

run the examples:

cd examples
./A_point_nuc.scr

or start a Jupyter server:

source docker/start_server

and then you can start a Jupyter notebook using the link specified by the server log.